• A comparison of Generative Adversarial Networks for automated prostate cancer detection on T2-weighted MRI 

      Patsanis, Alexandros; Sunoqrot, Mohammed R. S.; Langørgen, Sverre; Wang, Hao; Selnæs, Kirsten Margrete; Bertilsson, Maria Helena; Bathen, Tone Frost; Elschot, Mattijs (Journal article; Peer reviewed, 2023)
      Generative Adversarial Networks (GANs) have shown potential in medical imaging. In this study, several previously developed GANs were investigated for prostate cancer (PCa) detection on T2-weighted (T2W) magnetic resonance ...
    • CROPro: a tool for automated cropping of prostate magnetic resonance images 

      Patsanis, Alexandros; Sunoqrot, Mohammed R. S.; Bathen, Tone Frost; Elschot, Mattijs (Peer reviewed; Journal article, 2023)
      Purpose To bypass manual data preprocessing and optimize deep learning performance, we developed and evaluated CROPro, a tool to standardize automated cropping of prostate magnetic resonance (MR) images. Approach CROPro ...
    • Deep Generative Models for Supporting Prostate Cancer Diagnosis on MR Images 

      Patsanis, Alexandros (Doctoral theses at NTNU;2025:52, Doctoral thesis, 2025)
      In this dissertation, we aimed to advance the field of oncology by applying generative models, in particular Generative Adversarial Networks (GANs), to detect and localize prostate cancer (PCa) using MR imaging. While GANs ...